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sentiment-model

arunkumar-abimanyu / sentiment-model

Run on huggingface.co
huggingface.co
Total runs: 17
24-hour runs: 1
7-day runs: 17
30-day runs: 17
Model's Last Updated: September 26 2026
text-classification

Introduction of sentiment-model

Model Details of sentiment-model

sentiment-model

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7470
  • Accuracy: 0.6598
  • F1 Weighted: 0.6493
  • F1 Macro: 0.6493
Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Weighted F1 Macro
1.0498 1.0 58 0.8737 0.6080 0.5529 0.5529
0.8304 2.0 116 0.7226 0.6975 0.6881 0.6881
0.6785 3.0 174 0.7117 0.6821 0.6736 0.6736
Framework versions
  • Transformers 5.16.1
  • Pytorch 2.11.0+cu128
  • Datasets 4.8.5
  • Tokenizers 0.23.1

Runs of arunkumar-abimanyu sentiment-model on huggingface.co

17
Total runs
1
24-hour runs
1
3-day runs
17
7-day runs
17
30-day runs

More Information About sentiment-model huggingface.co Model

More sentiment-model license Visit here:

https://choosealicense.com/licenses/apache-2.0

sentiment-model huggingface.co

sentiment-model huggingface.co is an AI model on huggingface.co that provides sentiment-model's model effect (), which can be used instantly with this arunkumar-abimanyu sentiment-model model. huggingface.co supports a free trial of the sentiment-model model, and also provides paid use of the sentiment-model. Support call sentiment-model model through api, including Node.js, Python, http.

sentiment-model huggingface.co Url

https://huggingface.co/arunkumar-abimanyu/sentiment-model

arunkumar-abimanyu sentiment-model online free

sentiment-model huggingface.co is an online trial and call api platform, which integrates sentiment-model's modeling effects, including api services, and provides a free online trial of sentiment-model, you can try sentiment-model online for free by clicking the link below.

arunkumar-abimanyu sentiment-model online free url in huggingface.co:

https://huggingface.co/arunkumar-abimanyu/sentiment-model

sentiment-model install

sentiment-model is an open source model from GitHub that offers a free installation service, and any user can find sentiment-model on GitHub to install. At the same time, huggingface.co provides the effect of sentiment-model install, users can directly use sentiment-model installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

sentiment-model install url in huggingface.co:

https://huggingface.co/arunkumar-abimanyu/sentiment-model

Url of sentiment-model

Provider of sentiment-model huggingface.co

arunkumar-abimanyu
ORGANIZATIONS
huggingface.co